DocumentCode :
1577554
Title :
Detection and normalization of pattern position by neural network
Author :
Tamura, Shinichi ; Taketani, Hisashi ; Mitsumoto, Hiroshi ; Okazaki, Kozo ; Kawai, Hideo ; Fukui, Yutaka
Author_Institution :
Osaki Univ. Med. Sch., Japan
fYear :
1992
Firstpage :
959
Abstract :
The authors propose a method of detecting and normalizing pattern position by the backpropagation network (BN) with three layers. First, they clarify the troublesome situation of restoring the shifted position by BPN experimentally, using a one-dimensional signal. Next, it is shown that by cascading two networks, one can detect and normalize the signal position and demonstrate its usefulness. This method is applied to a two-dimensional image, and its validity is confirmed
Keywords :
backpropagation; feedforward neural nets; image recognition; pattern recognition; backpropagation network; normalization; one-dimensional signal; pattern position; signal position; two-dimensional image; Back; Biomedical imaging; Character recognition; Educational institutions; Head; Humans; Image restoration; Neural networks; Pattern recognition; Signal restoration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location :
Rostov-on-Don
Print_ISBN :
0-7803-0809-3
Type :
conf
DOI :
10.1109/RNNS.1992.268534
Filename :
268534
Link To Document :
بازگشت